We introduce parametric switching linear dynamic systems (P-SLDS) for learning and interpretation of parametrized motion, i.e., motion that exhibits systematic temporal and spatial variations. Our motivating example is the honeybee dance: bees communicate the orientation and distance to food sources through the dance angles and waggle lengths of their stylized dances. Switching linear dynamic systems (SLDS) are a compelling way to model such complex motions. However, SLDS does not provide a means to quantify systematic variations in the motion. Previously, Wilson & Bobick (1999) presented parametric HMMs, an extension to HMMs with which they successfully interpreted human gestures. Inspired by their work, we similarly extend the standard SLDS model to obtain parametric SLDS. We introduce additional global parameters that represent systematic variations in the motion, and present general expectation-maximization (EM) methods for learning and inference. In the learning phase, P-SLDS learns canonical SLDS model from data. In the inference phase, P-SLDS simultaneously quantifies the global parameters and labels the data. We apply these methods to the automatic interpretation of honey-bee dances, and present both qualitative and quantitative experimental results on actual bee-tracks collected from noisy video data.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Learning and inference in parametric switching linear dynamic systems


    Beteiligte:
    Sang Min Oh, (Autor:in) / Rehg, J.M. (Autor:in) / Balch, T. (Autor:in) / Dellaert, F. (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    268532 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Learning and Inference in Parametric Switching Linear Dynamical Systems

    Oh, S. / Rehg, J. / Balch, T. et al. | British Library Conference Proceedings | 2005


    Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems

    Oh, S. M. / Rehg, J. M. / Balch, T. et al. | British Library Online Contents | 2008



    An Improved Reanalysis Method Using Parametric Reduced Order Modeling for Linear Dynamic Systems

    Haider, Syed F. / Mourelatos, Zissimos | SAE Technical Papers | 2016


    An Improved Reanalysis Method Using Parametric Reduced Order Modeling for Linear Dynamic Systems

    Haider, Syed F. / Mourelatos, Zissimos | British Library Conference Proceedings | 2016